Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
Emily S. Finn,Xilin Shen,Dustin Scheinost,Monica D. Rosenberg,Jessica S. Huang,Marvin M. Chun,Xenophon Papademetris,R. Todd Constable +7 more
TLDR
In this article, the authors show that every individual has a unique pattern of functional connections between brain regions, which act as a fingerprint that can accurately identify the individual from a large group.Abstract:
This study shows that every individual has a unique pattern of functional connections between brain regions. This functional connectivity profile acts as a ‘fingerprint’ that can accurately identify the individual from a large group. Furthermore, an individual's connectivity profile can predict his or her level of fluid intelligence.read more
Citations
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Model-based network discovery of developmental and performance-related differences during risky decision-making.
TL;DR: It is shown that age is not the most influence contributing to network configurations, and GIMME, a model‐based approach which uses both group and individual‐level information to construct functional connectivity maps, is applied to investigate risky behavior and neural changes across development.
Journal ArticleDOI
Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study.
Jinyu Zang,Yuanyuan Huang,Lingyin Kong,Bingye Lei,Pengfei Ke,Hehua Li,Jing Zhou,Dongsheng Xiong,G. Y. Li,Jun Chen,Xiaobo Li,Zhiming Xiang,Yuping Ning,Fengchun Wu,Kai Wu +14 more
TL;DR: Wang et al. as mentioned in this paper analyzed the performance of two classifications (SZ vs NC; FESZ vs CSZ) based on the combinations of three brain atlases, five classifiers, two cross validation methods and 3 dimensionality reduction algorithms.
Journal ArticleDOI
An Evolutionary Game Theory Model of Spontaneous Brain Functioning.
Dario Madeo,Agostino Talarico,Alvaro Pascual-Leone,Chiara Mocenni,Emiliano Santarnecchi,Emiliano Santarnecchi +5 more
TL;DR: A theoretical and mathematical model able to capture brain's interregional dynamics by balancing emulative and non-emulative attitudes among brain regions is presented, and evolutionary game theory on networks is suggested as a new potential framework for the understanding of human brain network dynamics.
Journal ArticleDOI
Interventional neurorehabilitation for promoting functional recovery post-craniotomy: a proof-of-concept
TL;DR: In this paper , the authors used connectomics to construct single-subject cortical networks, and patients underwent network-specific transcranial magnetic stimulation (TMS) sessions daily over five consecutive days.
Journal ArticleDOI
Cognitive and Neural State Dynamics of Narrative Comprehension.
TL;DR: In this paper, a model based on time-resolved functional brain connectivity predicted changing cognitive states related to comprehension that are general across narratives, suggesting that comprehension entails the integration of narratives into a causally coherent structure.
References
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Correspondence of the brain's functional architecture during activation and rest.
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